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In this paper a method of detecting buildings in dense populated city areas using a three-dimensional model, produced by aerial images, is described. Further to the detection of the outline of the bui...
The existing change detection method mainly stays on the pixel-level, which is very susceptible to light, shadow, etc. And the complex calculation and analysis for each pixel reduce the detection effi...
The existing cloud detection methods in photogrammetry often extract the image features from remote sensing images directly, and then use them to classify images into cloud or other things. But when t...
Change detection is an essential step to locate the area where an old model should be updated. With high density and accuracy, LiDAR data is often used to create a 3D city model. However, updating LiD...
The collapse of buildings during the earthquake is a major cause of human casualties. Furthermore, the threat of earthquakes will increase with growing urbanization and millions of people will be vuln...
Within the health-monitoring frame, fault diagnosis includes the following steps: modelling, detection, isolation andestimation. Quantitative-based methods have been successfully used so far in divers...
In the present study, we applied the Particle Swarming Optimization (PSO) procedure to parametrize two Local Maxima (LM) algorithms and a pattern recognition model based on raster and point-cloud data...
The high point densities obtained by today’s airborne laser scanners enable the extraction of various features that are traditionally mapped by photogrammetry or land surveying. While significant pr...
In times of higher market prices of fossil fuels and to meet the increasingly environmental and economic threads of climate change renewable energy must play a major role for global energy supply. Th...
In this paper, we focus on complex event detection in internet videos while also providing the key evidences of the detection results. Convolutional Neural Networks (CNNs)have achieved promising perfo...
Identifying significant changes to our urban areas is a prerequisite for accurate topographic mapping. This paper presents an approach based on octree data structures to identify change between two se...
This paper proposes an automatic system which detects buildings in urban and rural areas by the use of first pulse return and last pulse return LIDAR data. Initially both first and last pulse return p...
The study highlights a novel method to segment single trees in 3D from dense airborne full waveform LIDAR data using the normalized cut segmentation. The key idea is to subdivide the tree area in a vo...
The building edge detection plays a key role during building extraction, which is important and necessary for building description. The edges detected from aerial images have high horizontal accuracy ...
This paper introduces a wavelet transform speckle reduction algorithm for Synthetic Aperture Radar (SAR) imagery based on edge detection. Existing speckle algorithm can efficiently reduce the speckle ...

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